The article lists down the softwares used at different layers in the LinkedIn platform layered architecture.
Presentation Layer
- Dust.js (Client-side templating JS engine)
- Backbone.js (Client-side MVC JS framework)
- JQuery
- YUI Library (UI libraries started by Yahoo engineers)
- Google V8 Engine (Used as server side JS templating engine)
- Node.js (Used in mobile app)
- HTML5 (Used in mobile app)
Business Layer
- Java (Applications such as Profile)
- Grails (Applications such as a Recruiter app)
- JRuby (Applications such as a Skills app)
- Spring (Component Model)
- Scala
Middleware
- Apache Kafka (Distributed entreprise-level messaging system)
Data Layer
- Oracle (RDBMS as primary data store used for writes)
- Espresso (NoSQL data store emerging as primary data store and envisioned to replace Oracle)
- Voldemart (NoSQL data store serving many Read-only pages)
- Zoie (Lucene)
- Bobo (Lucene)
- MySQL
- Databus (Change data capture system)
- Hadoop (Map-Reduce)
Cross-cutting concerns
- Apache Helix (Clustering management)
I have been recently working in the area of Data analytics including Data Science and Machine Learning / Deep Learning. I am also passionate about different technologies including programming languages such as Java/JEE, Javascript, Python, R, Julia, etc, and technologies such as Blockchain, mobile computing, cloud-native technologies, application security, cloud computing platforms, big data, etc. For latest updates and blogs, follow us on Twitter. I would love to connect with you on Linkedin.
Check out my latest book titled as First Principles Thinking: Building winning products using first principles thinking
Check out my latest book titled as First Principles Thinking: Building winning products using first principles thinking
Latest posts by Ajitesh Kumar (see all)
- Online US Degree Courses & Programs in AI / Machine Learning - May 29, 2023
- AIC & BIC for Selecting Regression Models: Formula, Examples - May 28, 2023
- Azure OpenAI Service Details & Pricing Info - May 27, 2023
http://www.infoq.com/presentations/Data-Infrastructure-LinkedIn is a presentation by Sid Anand (perhaps, qualifies for your Hall of Fame) and is quite informative.
http://www.infoq.com/interviews/12-mar-sid-anand/ is an interview with the same person and he highlights some good reasons for Linkedin to move away from RDBMS and more importantly the migration path